I am used to java
\'s implementation of OpenCV
. I want to create a Mat
structure, fill data into it, extract a submat and then apply so
For OpenCV 1.x :
You can use CreateMat to do that :
Creates a matrix header and allocates the matrix data.
Python: cv.CreateMat(rows, cols, type) → mat
Parameters:
rows – Number of rows in the matrix
cols – Number of columns in the matrix
type – The type of the matrix elements in the form CV_<bit depth><S|U|F>C<number of channels> , where S=signed, U=unsigned, F=float. For example, CV _ 8UC1 means the elements are 8-bit unsigned and the there is 1 channel, and CV _ 32SC2 means the elements are 32-bit signed and there are 2 channels.
The function call is equivalent to the following code:
CvMat* mat = cvCreateMatHeader(rows, cols, type);
cvCreateData(mat);
For cv2 interface :
The new cv2 interface for Python integrates numpy arrays into the OpenCV framework, which makes operations much simpler as they are represented with simple multidimensional arrays. here's a starting example :
import numpy as np, cv
vis = np.zeros((384, 836), np.float32)
h,w = vis.shape
vis2 = cv.CreateMat(h, w, cv.CV_32FC3)
vis0 = cv.fromarray(vis)